Here's a wordcloud of words in the titles (excluding common use words, in the shape of an axial brain slice).
Brian Caffo, PhD is a professor in the Department of Biostatistics with a secondary appointment in the Department of Biomedical Engineering at Johns Hopkins University. He graduated from the University of Florida Department of Statistics in 2001. He has worked in statistical computing, statistical modeling, computational statistics, multivariate and decomposition methods and statistics in neuroimaging and neuroscience. He led teams that won the ADHD 200 prediction competition. He co-directs the SMART statistical group. With other faculty at JHU, he created and co-directs the Coursera Data Science Specialization, a 10 course specialization on statistical data analysis. He co-directs the JHU Data Science Lab, a group dedicated to open educational innovation and data science. He is the former director of the Biostatistics graduate programs and admissions committees. He is currently the co-director of the Johns Hopkins High Performance Computing Exchange super computing service center and past-president of the Bloomberg School of Public Health faculty senate.
| Year | Description | Institution | |
|---|---|---|---|
| 2006 | K25 training grant | NIH | A mentored training program in imaging science |
| 2001 | PhD in statistics | U of Florida | Candidate sampling schemes and some important applications |
| 1998 | MS in statistics | U of Florida | |
| 1995 | Dual BS in mathematics and statistics | U of Florida |
Relevant professional experience.
| Year | Activity |
|---|---|
| 2005-2006 | Publications Officer for the Biometrics Section of the American Statistical Association |
| 2010 | Founding member Stat in Imaging ASA Section |
| 2010-2011 | Secretary Stat in Imaging ASA Section |
I usually try to create a JSM or ENAR session every year.
| Year | Activity |
|---|---|
| 2006-2008 | Associate editor Computational Statistics and Data Analysis |
| 2008-2010 | Associate editor for the Journal of the American Statistical Association |
| 2009-2012 | Associate editor for the Journal of the Royal Statistical Society Series B |
| 2010-2012 | Associate editor for Biometrics |
| 2011-2011 | Senior program committee member for the Fourteenth International Conference on Artificial Intelligence and Statistics |
| 2016-2016 | Guest associate editor for Frontiers in Neuroscience special issues on Brain Imaging Methods |
| 2021-2021 | Guest associate editor for Frontiers special issue in Explainable Artificial Intelligence in Healthcare and Finance |
I do NIH, EU, NSF ... ad hoc review panels whenever they ask me and I'm able to. This usually translates to say 3 or so a year. I review manuscripts for journals I like whenever they're relevant to my research expertise and I have done a few conference abstract reviews and chaired sessions for conferences I like.
| Year | Award |
|---|---|
| 1998 | William S. Mendenhall Award |
| 1999 | Anderson Scholar/Faculty nominee for the University of Florida CLAS |
| 2001 | University of Florida CLAS Dissertation Fellowship |
| 2001 | University of Florida Statistics Faculty Award |
| 2002 | Johns Hopkins Faculty Innovation Award |
| 2006 | Johns Hopkins Bloomberg School of Public Health AMTRA award |
| 2008 | Johns Hopkins Bloomberg School of Public Health Golden Apple teaching award |
| 2011 | Leader and organizer of the declared winning entry of the 2011 ADHD200 prediction competition |
| 2011 | Presidential Early Career Award for Scientists and Engineers (PECASE, 2010, awarded in 2011); The highest honor bestowed by the United States government on science and engineering professionals in the early stages of their independent research careers |
| 2014 | Named a Fellow of the American Statistical Association |
| 2015 | Special Invited Lecturer, European Meeting of Statisticians |
Publications reported in Scopus as of 01/04/2021. My total number of Scopus publications is 228. Below is a plot of total publications by year where each little rectangle is a publication. Hovering shows complete citation data.
Here are journals I publish in the most. Some of my favorite journals that I have published in less are JRSSA (1), JRSSB (2), JRSSC (1), Biometrika (1), IEEE TMI (1), JCGS (3), AJE (2), Brain (2), Biometrics (4), American Statistician (5), and Neuroimage Clinical (2).
I have published with 625 coauthors. Here is authors that I have had 10 or over manuscripts with.
Here's a plot of number of authors for each manuscript.
Here's a plot of my author position.
Here's a wordcloud of words in the titles (excluding common use words, in the shape of an axial brain slice).
Here's the total citation counts of manuscripts plotted by year of publication. Hover over a point to see publication details.
Excludes alternate.
To the nearest year. Data Science and EDS specializations were with Roger Peng and Jeff Leek. Hover over to see instructor role and other info.
E-books are free and open access, excepting Methods in Biostatistics with R. For all books, student get all subsequent version updates.
Hover data includes, granting organization, mechanism and title.
This is surprisingly hard and likely incomplete. Here's the best I could do for title and mechanism.
Here's my most frequent grant PIs.
Here's a breakdown of grant mechanisms.
Here's grants by the natural log base 10 of the yearly direct costs and start time.
Here's my major service roles by year rounded to the nearest year by the major organizational group that it represents. Also, I serve on ad hoc tenure and promotion committees whenever asked (not that often, maybe once every other year or so).
Here's wordclouds of seminar titles and seminar places.
